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العنوان
Control of fluid power systems -nonlinear fuzzy control for force tracking of electro- hydraulic servo system /
المؤلف
Hassanien, Osama Abd EL-Tawab Ahmed.
هيئة الاعداد
باحث / اسامة عبد التواب احمد حسنين
مشرف / سمير صبحي عياد
مشرف / يحيي عبد العظيم المشد
مناقش / جلال على حسان
مناقش / محمد فائق عبد ربه
الموضوع
Fluid power and control. Force, Electromotive.
تاريخ النشر
2009.
عدد الصفحات
116 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الميكانيكية
تاريخ الإجازة
1/1/2009
مكان الإجازة
جامعة بنها - كلية الهندسة بشبرا - الهندسة الميكانيكية
الفهرس
Only 14 pages are availabe for public view

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Abstract

The objective of this thesis is to control the output force, produced by the Hydraulic Servo System (HSS), to track a given desired force as closely as possible by using different types of fuzzy controllers.A Hydraulic Servo System is modeled using the block diagram-oriented environment, SIMULINK (MATLAB software). The simulation models include module for the actuators and the valve spool dynamics, including: amplifier saturation, pressure limits, friction, piston motion and nonlinear flow gain. The model is verified by comparing the simulated results with the experiment one. The model is used as a base for developing fuzzy force controllers which are used for tracking different types of force then the developed and adopted control strategy that is implemented and tested on the real system.The fuzzy controlled system which is consisting of linguistic defined fuzzy sets and the control rules are used. In our study three types of fuzzy controllers are used. The first one is PD-like fuzzy logic controller with Gaussian membership functions for the inputs and outputs of the control system. The second is a PI-like fuzzy controller. The third is a PD-like fuzzy controller plus integral. The inference process (the base rules set) uses the Macvicar-Whelan control matrix, and the defuzzification process uses the center-area method. The fuzzy controllers are implemented and applied to the experimental hydraulic force tracking system. The experimental results showed very good force tracking using the PD-like fuzzy controller.